Overview
Skills
Job Details
W2 ONLY. NO C2CC OR IC. NO 3RD PARTIES. MUST BE LOCAL TO NYC AREA.
UX RESEARCHER (DRUG DISCOVERY / PHARMA / SCIENTIFIC ORGANIZATION)
Qualifications:
Experience with LLM-based applications and standardized protocols like MCP
Experience working on internal tools with subject matter experts and stakeholders
Usability research
Product experimentation
A/B testing
UX testing/benchmarking
LLMs & agents
Bring 3-5+ years of experience conducting UX researcher and usability testing preferably with complex, expert-facing systems 3-5+ years of experience in qualitative and quantitative research, generative and usability research, longitudinal studies, data analysis, product experimentation, A/B testing, and user experience benchmarking. Experience with UserTesting, Contentsquare or similar usability testing platforms Have experience building and scaling a user research practice, including establishing processes for recruitment, testing, and knowledge management.
Description:
The AI for Drug Discovery team in Computational Sciences Center of Excellence (CS CoE) seeks exceptional UX researchers on a 6-month contract basis with demonstrated background in user testing and AI products. You will be the bridge between our users world-class scientists and domain experts in biomedicine and drug development and our development team. The group provides a dynamic and challenging environment for cutting-edge, multidisciplinary research including access to heterogeneous data sources, close links to top academic institutions around the world, as well as internal partners and research units. Your mission will be to help refine and ensure our agentic framework is not only powerful but also intuitive, efficient, and enables the complex workflows of cutting edge drug discovery. You will champion a user-centered approach, translating deep user insights into a product that accelerates scientific breakthroughs.
The Role
Define Product Strategy Through UX Research: Lead end-to-end user research and usability testing to directly inform product decisions, identifying critical pain points in the scientific workflow, and uncovering new opportunities for agents and agentic frameworks. Design and Execute Rigorous Usability Studies: Develop and implement a range of user testing methodologies, from contextual inquiries to heuristic evaluations.
Operationalize User Feedback:
Build and manage a systematic process for gathering, analyzing, and tracking qualitative user feedback over time, helping the team monitor user satisfaction and make data-informed improvements to models, agents, and infrastructure.
Uncover Actionable Insights:
Analyze qualitative data from user sessions, interviews, and surveys to identify core user behaviors, motivations, and obstacles. Synthesize these findings to reveal what drives user adoption and engagement.
Build a User-Testing Infrastructure:
Create and maintain reusable testing protocols, participant recruitment pipelines, and insight repositories to elevate the quality and efficiency of user research across the organization.
Collaborate Deeply with a Cross-Functional Team:
As part of the Foundation Model team, work closely with AI/ML Engineers & Scientists to translate complex user needs from diverse groups across Drug Discovery units and research findings into clear, actionable product direction.
Communicate with Clarity and Impact:
Synthesize diverse qualitative & quantitative data to provide clear, compelling insights and recommendations. Effectively communicate your findings to both technical and non-technical audiences to drive user-centered decisions around product features and roadmap.